Asset weight of a topic
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Asset weight is a measure of a topic. It is proportional to a number of occurrences and associations of the topic and topic's immediate neighbors. Asset weight measure has been developed by Petra Haluzová of Department of Informatics and Telecommunication, Czech Technical University, Prague. Asset weight measure is described in detail in her [http://tmra.de/2010/ TMRA'10] conference paper ''[http://www.topicmapslab.de/publications/evaluation-of-instances-asset-in-a-topic-maps-based-ontology Evaluation of Instances Asset in a Topic Maps Ontology]''. | Asset weight is a measure of a topic. It is proportional to a number of occurrences and associations of the topic and topic's immediate neighbors. Asset weight measure has been developed by Petra Haluzová of Department of Informatics and Telecommunication, Czech Technical University, Prague. Asset weight measure is described in detail in her [http://tmra.de/2010/ TMRA'10] conference paper ''[http://www.topicmapslab.de/publications/evaluation-of-instances-asset-in-a-topic-maps-based-ontology Evaluation of Instances Asset in a Topic Maps Ontology]''. | ||
− | Wandora has a feature that is used to calculate asset weight either for | + | Wandora has a feature that is used to calculate asset weight either for an entire layer stack, for a selected layer or for current topic selection. Feature target is selected implicitly by the context in which the feature is started. Wandora user can open asset weight dialog window by selecting top menu option '''Layers > Statistics > Asset weights...''', layer context menu option '''Statistics > Asset weights...''', and topic selection context menu option '''Topics > Statistics > Asset weights...'''. |
+ | |||
+ | == Asset weights dialog window == | ||
+ | |||
+ | Starting the asset weight feature Wandora opens a dialog window with six tabs | ||
+ | |||
+ | * Introduction | ||
+ | * Partial weight options | ||
+ | * Partial weights | ||
+ | * Follow options | ||
+ | * Follow weights | ||
+ | * Results | ||
+ | |||
+ | Next chapters describe the options and functions of each tab. | ||
+ | |||
+ | === Introduction === | ||
+ | |||
+ | This tab is a short introduction to the asset weight feature. Tab has no special functions. | ||
+ | |||
+ | === Partial weight options === | ||
+ | |||
+ | This tab is used to select which topic elements are used to calculate partial weights. | ||
+ | |||
+ | === Partial weights === | ||
+ | |||
+ | In this tab user can define association and occurrence type and weight pairs. | ||
+ | |||
+ | === Follow options === | ||
+ | |||
+ | === Follow weights === | ||
+ | |||
+ | === Results === |
Revision as of 22:41, 16 November 2010
Asset weight is a measure of a topic. It is proportional to a number of occurrences and associations of the topic and topic's immediate neighbors. Asset weight measure has been developed by Petra Haluzová of Department of Informatics and Telecommunication, Czech Technical University, Prague. Asset weight measure is described in detail in her TMRA'10 conference paper Evaluation of Instances Asset in a Topic Maps Ontology.
Wandora has a feature that is used to calculate asset weight either for an entire layer stack, for a selected layer or for current topic selection. Feature target is selected implicitly by the context in which the feature is started. Wandora user can open asset weight dialog window by selecting top menu option Layers > Statistics > Asset weights..., layer context menu option Statistics > Asset weights..., and topic selection context menu option Topics > Statistics > Asset weights....
Contents |
Asset weights dialog window
Starting the asset weight feature Wandora opens a dialog window with six tabs
- Introduction
- Partial weight options
- Partial weights
- Follow options
- Follow weights
- Results
Next chapters describe the options and functions of each tab.
Introduction
This tab is a short introduction to the asset weight feature. Tab has no special functions.
Partial weight options
This tab is used to select which topic elements are used to calculate partial weights.
Partial weights
In this tab user can define association and occurrence type and weight pairs.